Evidence map›Paper›PMID 33204183›Full record

ArticleMedical devices (Auckland, N.Z.)2020

A Novel Radiofrequency Device to Monitor Changes in Pulmonary Fluid in Dialysis Patients.

Jeffrey J Connaire, Matthew L Sundermann, Ramu Perumal, Charles A Herzog

Open access · goldAbstract read
In one paragraph

Article in Medical devices (Auckland, N.Z.), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.4field-weighted citation impact, top 34% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed, 4 citations in OpenAlex.

  1. Review
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors at 2 institutions in 1 country.

Jeffrey J ConnaireDavita Clinical Research, Minneapolis, MN, USA.
Matthew L SundermannZOLL, Pittsburgh, PA, USA.
Ramu PerumalZOLL, Pittsburgh, PA, USA.
Charles A HerzogCardiology Division, Department of Internal Medicine, Hennepin Healthcare/University of Minnesota, Minneapolis, MN, USA.
DaVita Clinical Research (United States) · USHennepin Healthcare Research Institute · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND AND

objectivesFluid monitoring is an important management strategy in patients with chronic kidney disease (CKD) and heart failure (HF). The µCor™ Heart Failure and Arrhythmia Management System uses a radiofrequency-based thoracic fluid index (TFI) to track pulmonary edema. During hemodialysis, the acute removal of fluid through ultrafiltration offers a model for measuring a patient's fluid status. The objective of the study was to assess the relationship between the device measured TFI and ultrafiltration volume (UFV). DESIGN SETTING PARTICIPANTS AND MEASUREMENTS: Patients undergoing chronic dialysis with and without heart failure were enrolled in the study. The relationship between TFI and UFV in each individual subject was assessed by calculating the Pearson correlation coefficient (

resultsTwenty subjects were enrolled in the trial. The mean volume of fluid removal was 3.63 L (SD 0.88 L). The mean correlation based on Fisher's transform was 0.95 CI (0.92-0.99). Responder analysis showed that the mean reduction of TFI after dialysis was 5.5% ± 3.8.

conclusionThe µCor system provides radiofrequency-based measurements of thoracic fluid which correlate well with total body fluid removal in a real-world setting. Fluid management based on the radar-derived TFI may provide benefits to dialysis patients and serves as a potential model for pulmonary edema common to the clinical course of heart failure.

Indexed as

dialysisheart failuretotal body fluid monitoringultrafiltrationwearables

Identifiers

PMID33204183
PMCPMC7667146
OpenAlexW3105692062

What OpenQuestion holds

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LicenceCC BY-NC
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.